Email： linyuan_li@mail.bnu.edu.cn
ResearchGate: https://www.researchgate.net/profile/Linyuan_Li
Blog：https://www.cnblogs.com/ludwig1860/
Affiliation: Beijing Forestry University
Homepage: http://www.rs-lilinyuan.com/
Research interests:
UAV close-ranging remote sensing, biophysical parameters of vegetation (forest and crop), multi-angular remote sensing,
centimetric/millimetric image processing, LiDAR data processing
Education:
2016.9 - 2020.6: Ph.D. in Cartography and Geography Information System, Beijing Normal University, Beijing, China.
2017.12 - 2019.12: joint PhD student in UAV quantitative remote sensing, EMMAH, INRA, Avignon, France.
2014.9 - 2016.8: M.S. in Cartography and Geography Information System, Beijing Normal University, Beijing, China.
2010.0 - 2014.7: B.E. in Remote Sensing Science & Technology, Chang'an University, Xi'an, China.
Selected published papers:
[1] Li, L., Mu, X.*, Macfarlane, C., Song, W., Chen, J., Yan, K., Yan, G., 2018. A half-Gaussian fitting method for estimating fractional vegetation cover of corn crops using unmanned aerial vehicle images. Agric. For. Meteorol. 262, 379–390.
[2] Yan, G., Li, L.*, Coy, A., Mu, X., Chen, S., Xie, D., Zhang, W., Shen, Q., Zhou, H., 2019. Improving the estimation of fractional vegetation cover from UAV RGB imagery by colour unmixing. ISPRS J. Photogramm. Remote Sens. 158, 23–34.
[3] Li, L., Chen, J., Mu*, X., Li, W., Yan, G., Xie, D., Zhang, W., 2020. Quantifying Understory and Overstory Vegetation Cover Using UAV-Based RGB Imagery in Forest Plantation. Remote Sens. 2020, Vol. 12, Page 298 12, 298.
[4] Li, L., Mu, X.*, Soma, M., Wan, P., Qi, J., Hu, R., Tong, Y., Zhang, W., Yan, G., 2020. An iterative-mode scan design of terrestrial laser scanning in forests for minimising occlusion effect. IEEE Trans. Geosci. Remote Sens. (doi: 10.1109/TGRS.2020.3018643)
[5] Li, L., Mu, X.*, Qi, J., Pisek, J., Roosjen, P., Yan, G., Huang, H., Liu, S., Baret, F., 2020. Characterizing soil background BRDF in open forests using UAV-based multi-angular images. ISPRS J. Photogramm. Remote Sens.
[6] Qi, J., Xie, D.*, Li, L., Zhang, W., Mu, X., Yan, G., 2019a. Estimating Leaf Angle Distribution From Smartphone Photographs. IEEE Geosci. Remote Sens. Lett. 16, 1190–1194.
[7] Qi, J., Xie, D.*, Yin, T., Yan, G., Gastellu-Etchegorry, J.-P., Li, L., Zhang, W., Mu, X., Norford, L.K., 2019b. LESS: LargE-Scale remote sensing data and image simulation framework over heterogeneous 3D scenes. Remote Sens. Environ. 221, 695–706.
[8] Song, W., Mu, X.*, Ruan, G., Gao, Z., Li, L., Yan, G., 2017. Estimating fractional vegetation cover and the vegetation index of bare soil and highly dense vegetation with a physically based method. Int. J. Appl. Earth Obs. Geoinf. 58, 168–176.
[9] Zhang, W.*, Zhao, J., Chen, M., Chen, Y., Yan, K., Li, L., Qi, J., Wang, X., Luo, J., Chu, Q., 2015. Registration of optical imagery and LiDAR data using an inherent geometrical constraint. Opt. Express 23, 7694.
[10] Yan, G., Tong, Y., Yan, K.*, Mu, X., Chu, Q., Zhou, Y., Liu, Y., Qi, J., Li, L., Zeng, Y., Zhou, H., Xie, D., Zhang, W., 2018. Temporal extrapolation of daily downward shortwave radiation over cloud-free rugged terrains. Part 1: Analysis of topographic effects. IEEE Trans. Geosci. Remote Sens. 56, 6375–6394.
Patents and Software Copyrights:
[1] Li, L., Qi, J., Mu, X., Controller Software on Multi-angle Observation Vehicle, Maovc, V 3.0 Registration No.: 2015SR25409
[2] Qi, J., Yan, K., Li, L., Controller Software on Multi-angle Observation Vehicle, V 1.0 Registration No.: 2014SR058530
Conference Presentation:
[1] International Workshop on Quantitative Remote Sensing for Heterogeneous Land Surface, Beijing, 2016. (Oral)
[2] IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, U.S., 2017. (Poster)
[3] IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, 2018. (Poster)
[4] Symposium on space and earth sciences, Sanya, China, 2018. (Oral in Chinese)
[5] IPPS International Plant Phenotyping Symposium, Nanjing, China, 2019. (Oral)
[6] EGU General Assembly, Vienna, Austria, 2019. (Poster)
Reviewer:
[1] Agriculture and Forest Meteorology
[2] Remote Sensing
[3] ISPRS journal of photogrammetry and remote sensing
[4] Sensors
Edit date: 28/10/2020